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Has data quality Phase 3

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nm000119
Oikonomou2016 – SSVEP MAMEM 1 dataset

EEG

…removal, feature extraction, feature selection, classification) is studied independently by keeping all…

Participants

11

by Vangelis P. Oikonomou et al.
nm000196
c-VEP dataset from Thielen et al. (2015)

EEG

…turn serve as templates for classification. The linear generative model explains on…

Participants

12

by Jordy Thielen et al.
nm000216
P300 dataset BI2015a from a "Brain Invaders" experiment

EEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000216-blue…

Participants

43

by Louis Korczowski et al.
nm000244
P300 dataset BI2014a from a "Brain Invaders" experiment

EEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000244-blue…

Participants

64

by Louis Korczowski et al.
nm000250
Dreyer et al. 2023 — A large EEG database with users' profile information for motor imagery brain-computer interface research

EEG

…the design of EEG signal classification algorithms. ## Methodology Participants performed a Graz…

Participants

87

by Pauline Dreyer et al.
on005555
The Bitbrain Open Access Sleep (BOAS) dataset

EEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005555-blue…

Participants

128

by Eduardo López-Larraz et al.